Optimal sizing of photovoltaic water pumping system using Fuzzy-Adaptive PSO

Abstract

Water is engine of all human activity. This year Algeria has experienced a shortage of water supply which has made groundwater a semi-main source for reserve. Photovoltaic-based water pumping system (PVPS) presents an attractive solution to water access, especially in irrigation needs. In this regard, the main objective of this article is study investigates an optimization approach of photovoltaic energy for pumping systems based on technical and economical indicators. In order to ensure the best size of system elements, The algorithm optimization is configurated using fuzzy–adaptive particle swarm optimization (PSO). The recommended model takes into account initial capital cost, operation, and replacements costs. The simulation analysis is mainly affected by load, meteorological data elements parameters. For this study, an autonomous PVPS is designed to satisfy meet water demand for irrigation of small agricultural field over 20 years life span in Algiers. The results include optimal numbers of each component including pumps and batteries for storage supplied by photovoltaic panels taken as renewable energy sources which provide photovoltaic pumping systems.